Data Science Platform Market - Forecasts from 2018 to 2023
The data science platform market was valued at US$XX.XX billion in 2017 and is expected to grow at a CAGR of XX.XX% over the forecast period to reach a total market size of US$XX.XX billion by 2023. Continuous growth of businesses across industries is steering them away from legacy data science processes which use disjointed tools to support the workflow of various departments. Huge costs and complexity of processes associated with the use of such tools are some of the key factors powering this drift. Ease of pooling resources from a centralized place and quicker deployment of analytics models facilitated by data science platforms are further moving the enterprises towards them, thus boosting the growth of the market. The growth of the market is expected to remain solid as businesses continue to adopt data intensive business strategies. As these platforms continue to become advanced, enterprises can expect higher returns on their investment in end-to-end data science platform implementation. This will drive the market growth over the projected period.
This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical regions. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.
Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study has been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the data science platform value chain. Last step involves complete market engineering which includes analysing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.
Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the data science platform market.
Major industry players profiled as part of the report are Microsoft, IBM, Google, Wolfram, Datarobot, Inc., Cloudera, Inc., RapidMiner, Inc., Domino Data Lab, Inc., Dataiku, Alteryx and Continuum Analytics.
The data science platform market is segmented by type, end-user industry and geography.
Open Data Science Platform
Closed Data Science Platform
Communication and Technology
Media and Entertainment
Middle East and Africa
Key Questions answered by the report
What is the data science platform market size from 2018 to 2023?
How are the major drivers and restraints affecting the data science platform market and the opportunities which exist for the key vendors?
Which segment and region will drive or lead the market growth and why?
A comprehensive analysis of competitive landscape and key market participants behaviour
Key strategies being adopted by vendors, with in-depth analysis of their impact on competition and market growth.
Domino Data Lab, Inc.